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Title:Using Named Entity Recognition as a Classification Heuristic
Author(s):Thomer, Andrea K.; Weber, Nicholas M.
Subject(s):bioinformatics
text mining
natural language processing
named entity recognition
acknowledgments
authorship
Abstract:This poster proposes the use of Named Entity Recognition as a heuristic tool for improving manual document classification. This technique was developed as part of a project studying collaborative work via the acknowledgment statements found in a corpus of formally published journal articles. We demonstrate how uncertainty in our initial text mining results were `ground-truthed' using Natural Language Processing tools in a quick-and-dirty fashion. To verify this technique's validity, we offer some initial results from our larger study.
Issue Date:2014-03-01
Publisher:iSchools
Citation Info:Thomer, A. K., & Weber, N. M. (2014). Using Named Entity Recognition as a Classification Heuristic. In iConference 2014 Proceedings (p. 1133 - 1138). doi:10.9776/14401
Series/Report:iConference 2014 Proceedings
Genre:Conference Poster
Type:Text
Language:english
URI:http://hdl.handle.net/2142/47362
DOI:https://doi.org/10.9776/14401
Other Identifier(s):401
Publication Status:published
Peer Reviewed:yes
Rights Information:Copyright 2014 is held by the authors of individual items in the proceedings. Copyright permissions, when appropriate, must be obtained directly from the authors.
Date Available in IDEALS:2014-02-28


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